Saved 100s of hours of manual processes when predicting game viewership when using Domo’s automated dataflow engine.
Agent Templates
Accelerate your AI transformation with focused solutions
Featured Templates
All Templates
Stock Replenishment
AI-powered agent that detects store stockouts and calculates optimal replenishment quantities from warehouse inventory to avoid lost sales and optimize stock levels.
Discount Suggestion
AI-powered discount optimization agent that identifies slow-moving products and applies customer-specific discount strategies based on stock age, while protecting profit margins.
Customer Segmentation
Three AI agents that boost conversions, prevent risks, and optimize pricing through smart behavior analysis and real-time insights.
Budget Allocation
The Marketing Budget Optimization Assistant reallocates budgets to top-performing campaigns, maximizing ROI and ROAS with real-time data and smart, data-backed recommendations.
Manufacturing Procurement
A chained suite of AI agents streamlining procurement decisions by forecasting SKU-level demand, selecting the best vendor using performance and cost, and simulating optimal vendor negotiation strategies all powered by clean, structured datasets and rules-based pricing logic.
Capacity Conflict Resolver
The Capacity Conflict Resolver Agent detects and resolves production conflicts by analyzing constraints like overloads, labor, maintenance, and materials. It suggests reallocation or rescheduling to optimize flow and reduce bottlenecks.
Inventory Disposal
The AI-Driven Inventory Disposal Agent analyzes slow-moving or at-risk stock and recommends Dispose, Mark Down, or Transfer actions to minimize loss, reduce excess, and boost warehouse efficiency.
Product Planogram Navigator
This AI suite analyzes sales and shelf efficiency, recommends planogram placements, and identifies product pairings to optimize retail performance with a data-driven, closed-loop merchandising strategy.
Sales Floor Allocation
It predicts traffic by zone, section, and shift using footfall and event data, then compares it with staffing to flag areas as Understaffed, Sufficient, or Overstaffed, suggesting reallocation as needed.